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In parallel, large deployment of ML systems in business, science, environment and various other areas started to realize the strong dependency on the quality of the input data to these ML models to get reliable predictions or insights. That dual relationship between ML and data cleaning has been addressed by many recent research works under terms such as \u201cData cleaning for ML\u201d and \u201cML for automating data cleaning and data preparation\u201d. In this article, we highlight this symbiotic relationship between ML and data cleaning and discuss few challenges that require collaborative efforts of multiple research communities.<\/jats:p>","DOI":"10.1145\/3506712","type":"journal-article","created":{"date-parts":[[2022,3,4]],"date-time":"2022-03-04T22:24:08Z","timestamp":1646432648000},"page":"1-11","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":49,"title":["Machine Learning and Data Cleaning: Which Serves the Other?"],"prefix":"10.1145","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9052-9714","authenticated-orcid":false,"given":"Ihab F.","family":"Ilyas","sequence":"first","affiliation":[{"name":"University of Waterloo, West Waterloo, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6148-1854","authenticated-orcid":false,"given":"Theodoros","family":"Rekatsinas","sequence":"additional","affiliation":[{"name":"University of Wisconsin, Madison, WI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,7,21]]},"reference":[{"key":"e_1_3_2_2_2","unstructured":"OJ 2016 Regulation (EU) 2016\/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data and repealing Directive 95\/46\/EC (General Data Protection Regulation)"},{"key":"e_1_3_2_3_2","volume-title":"Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA@SIGMOD 2019, Amsterdam, The Netherlands, July 5, 2019","year":"2019","unstructured":"2019. 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